"Put Together": Black Women's Body Stories in Toronto, (Ad)dressing Identity and the Threads That Bind
Notice bibliographique
Résumé
Put Together: Black Womens Body Stories in Toronto, (Ad)dressing Identity & The Threads That Bind centers child and adult body stories shared by eight Black women, including the author, 29 to 39 years of age living in Toronto one of the most diverse cities in the world. Historically, the lived experiences and body talk of Black women and girls have been routinely marginalized and tangentially documented within dominant monochromatic body image literature which usually centers the experience of white women and girls. The geography of the seven participants is intentional as it further destabilizes the Americentric lens of fat studies and Black feminist scholarship by adding to the canon the stories of Toronto-based women who self-identify with both blackness and fatness : two embodiments often misperceived, misrepresented and constructed as excess(ive) in need of repair and regulation. Through a hybrid, intersectional framework, informed by tenets of fat studies, anti-racist, Black feminist thought, symbolic interactionism and sartorial scholarship this dissertation intends to demonstrate the socially constructed educational societal curriculum the everyday and systemic good body, bad body lessons - learned through social interactions with significant and generalized others and through the symbolic and cultural currency of objects such as clothing and self-fashioning practices that help to shape how these participants think, feel and remember their bodies through the qualitative, unstructured interview. Their stories are thematically analyzed and the threads that bind and bound them are made apparent. \nParticipants accommodation and resistance of normalized body ideals and social forces are explored. Particular attention is paid to their material self-representation as impression management through dress since respectability politics and appearance factor significantly in their body stories along with various activisms that help them buck the system through self-definition and valuation. Participants raced, gendered, and sized body stories are shaped through their family, schooling, workplace, public space, intimate relationships, community activism and sartorial engagements among other key influencers and as Put Together unfolds, their experiences with racism, sexism, class bias, fat phobia and other intersectional forms of body-based discrimination, harassment and gender-based violence, and the mental health implications of these embodied traumas are laid bare. \nTraditionally, it is postulated that Black women have little worries about their weight, their bodies and are more welcoming of fatness. However, Put Together demonstrates the falsehood of this essentializing assumption and addresses the paucity in the research. The double whammy of fatness and Blackness and the accompanying stereotypes set up a scenario where the Black women in this research are arguably engaged in a heightened awareness a triple consciousness of size, gender and race corporeality. This qualitative research can support educators, activists and policy pertaining to appearance-based discrimination, equity and inclusivity. It also supports the need for more inclusive sizing, good quality and affordably-priced clothing options for fat bodies. Body-based bullying, size discrimination and anti-Black racism are inextricably linked in this study. The outcome of that to future studies can be more comprehensive, culturally-relevant and size diverse research, images, analyses and conversations on body image which includes race and representation, in school curriculum, in workplace human rights, heath and wellness and in fashion industry policies and practice for instance.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,032 | 0,017 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».